Design a human-AI conversation flow
Map the turns, handoffs, and recovery paths a person needs when working with an AI assistant.
Find a useful starting point for your next design or product task.
226 prompts for design, research and product work. All copyable prompts and guidance are written by Knoveya.
Map the turns, handoffs, and recovery paths a person needs when working with an AI assistant.
Define the evidence reviewers should look for when judging an AI response.
Explain an AI proposal in terms of the decision, cost, and outcome leadership needs to understand.
Find the interface layer and follow how a screen connects to the rest of a repository.
Check whether your Claude Code instructions produce better results on a repeatable task.
Give coding agents a dependable reference for applying your existing design system.
Map the turns, handoffs, and recovery paths a person needs when working with an AI assistant.
Define the evidence reviewers should look for when judging an AI response.
Explain an AI proposal in terms of the decision, cost, and outcome leadership needs to understand.
Find the interface layer and follow how a screen connects to the rest of a repository.
Check whether your Claude Code instructions produce better results on a repeatable task.
Give coding agents a dependable reference for applying your existing design system.
Outline the screens, navigation, and states needed to take a product concept into design.
Review a frontend screen and choose the changes that most improve its clarity and finish.
Explore direct manipulation and responsive motion for an interface inspired by Apple.
Work through unresolved design decisions before committing to a solution.
Identify generic visual choices and replace them with decisions grounded in your product.
Review transitions and interaction feedback without overwhelming the task.
Choose a visual direction that reflects the audience and purpose of a screen.
Connect positioning and visual foundations in a practical starter identity.
Shape an investor presentation around the business argument and supporting evidence.
Introduce your company to an investor with a concise, relevant first message.
Prepare clear answers and supporting material for an investor's review.
Understand how proposed investment terms affect ownership and decision-making.
Keep investors informed about progress, setbacks, and where help is needed.
Narrow a B2B audience to the buyers and situations your product can serve.
Draft an outbound sequence with a reason for each follow-up.
Plan a sales conversation that uncovers the prospect's current process and needs.
Build a demo around the buyer's problem and prepare for difficult questions.
Set expectations for a trial engagement before either team commits.
Turn a search opportunity into a focused page and content plan.
Assess how clearly your public content explains entities and supports citations by AI search.
Compare packaging choices and decide where plans or usage boundaries belong.
Prepare customer questions that reveal how people value a proposed offer.
Define the outcomes and evaluation criteria for an early hire.
Walk a candidate through the assumptions and uncertainty behind an equity package.
Use customer evidence to assess whether a product is meeting an urgent need.
Identify the first meaningful result a new user should reach.
Investigate why users leave and choose retention changes worth testing.
Link a company-level measure to concrete goals for the next quarter.
Draft procurement answers from security practices you can actually substantiate.
Record where personal data travels and how it is retained or removed.
Prepare a list of contract issues to discuss with qualified counsel.
Develop a launch story people can understand and share.
State the shared opportunity, responsibilities, and next step for a potential partner.
Improve a prompt by making the task, constraints, and expected response explicit.
Package a recurring task as instructions an agent can load and follow.
Document repository conventions and boundaries for coding agents.
Record interface rules so future changes stay consistent with your visual system.
Give Claude Code the project context and commands it needs to work responsibly.
Define the tools, permissions, and review points around an agent's task.
Find questions people may misunderstand before sending a survey widely.
Prepare invitations, reminders, and recruitment targets for a survey launch.
Establish exclusion criteria and a coding approach before interpreting survey responses.
Capture evidence and follow-up questions immediately after a research session.
Test whether people understand and value a proposed concept.
Plan repeated observations that reveal how behavior changes over time.
Explain participation, recording, and scheduling in language a research participant can follow.
Articulate who a brand serves and the promise it can credibly make.
Compare how competitors present themselves and look for a defensible opening.
Use brand archetypes to explore a coherent voice and storytelling direction.
Connect a brand's origins and beliefs to the change it wants to create.
Review whether a brand is recognized, understood, and consistently expressed.
Translate a campaign objective into creative directions and evaluation criteria.
Check visual and verbal materials against a shared set of brand rules.
Explore logo directions before investing in finished artwork.
Specify how an approved identity works across real applications.
Build a usable brand palette with roles and contrast considerations.
Describe a brand's voice through concrete writing choices and examples.
Explore name candidates and explain the trade-offs in a shortlist.
Compare short brand statements that express different strategic angles.
Explore homepage openings around a product's audience and strongest promise.
Create naming conventions that keep a growing product family understandable.
Flag pronunciation and cultural concerns in a name shortlist for further review.
Learn how people recognize and describe a brand through survey questions.
Look for recurring motivations and tensions in customer language.
Ground audience profiles in observed needs and buying context.
Adapt a consistent brand voice to different social channels.
Schedule campaign deliverables around their dependencies and intended audiences.
Present a brand strategy as a sequence of decisions and supporting evidence.
Explain the investment, expected value, and uncertainty of a brand initiative.
Define what a rebrand should change and what it needs to preserve.
Organize a brand's core message and proof for different audiences.
Coordinate the assets and teams needed to introduce a new identity.
Develop logo ideas from a strategic brief before creating final assets.
Document logo variations and the conditions for using each one.
Evaluate a logo's legibility and fit, then prioritize revisions.
Explore campaign messages suited to the channel and intended action.
Plan a series of emails that moves a reader toward a useful next step.
Organize social posts into a maintainable publishing schedule.
Locate friction across a marketing funnel and rank the next experiments.
Explain marketing performance with context that supports the next decision.
Combine findings from several research methods into a coherent decision brief.
Structure a project recap around outcomes, evidence, and lessons.
Define participant criteria and outreach for an upcoming study.
Present audience needs using research you already have.
Compare a batch of interviews to identify early patterns and unanswered questions.
Build a presentation that helps stakeholders understand a recommendation.
Draft survey items tied to the questions the study needs to answer.
Replace a broad ambition with a measurable goal and review date.
Revise machine-written prose to make its meaning specific and natural.
Write a few durable principles for making project trade-offs.
Choose a research approach, participants, and deliverables for a product question.
Narrow a broad stakeholder request into questions a study can resolve.
Identify eligible participants with explicit screening and routing criteria.
Prepare a timed session guide with questions, activities, and useful probes.
Review survey wording and response options for ambiguity or bias.
Organize qualitative observations into themes while keeping evidence traceable.
Turn a research theme into an implication and a recommended action.
Build a research presentation around findings, evidence, and decisions.
Describe behavior patterns supported by research rather than invented demographics.
Rank research requests against their value, urgency, and available capacity.
Describe a component's variants and interaction states before implementation.
Turn brand goals into a brief a visual designer can work from.
Arrange content so its importance is clear at a glance.
Translate brand personality into visual choices for a digital product.
Specify the anatomy and token usage of a component across its states.
Connect color roles and type scales into a foundation that supports both themes.
Compare layout approaches before committing to detailed screen design.
Find where a screen's emphasis conflicts with the order people need to read.
Keep a record of contributions and evidence of their impact.
Define an experiment's hypothesis and the evidence needed to evaluate it.
Report accessibility issues with enough context for remediation and verification.
Collect focused feedback from people trying an unreleased product.
Plan how to involve stakeholders with different interests and decision rights.
Check whether a design covers the states engineering will need to build.
Identify the inputs needed to estimate a useful experiment size and duration.
Compare internal strengths and weaknesses with external opportunities and threats.
Walk through tasks using a screen reader and record obstacles.
Make an experiment decision using predefined metrics and uncertainty.
Compare competitor plans in terms of price, limits, and customer value.
Agree on deliverables, boundaries, and assumptions before a project grows.
Guide a critique toward actionable feedback and shared understanding.
Coordinate launch responsibilities, timing, and fallback actions.
Share design progress with the decisions and next steps others need.
Connect evidence of your work to expectations for the next level.
Prepare a constructive conversation about the terms of a design job offer.
Choose skills and work experiences that support a career objective.
Reflect on results and growth with examples a reviewer can assess.
Ask for feedback that is specific enough to act on.
Choose a structured exercise to explore alternatives to a design problem.
Decide which reusable components deserve attention first.
Explain how teams should use and maintain system components.
Plan adoption and support when introducing a design system.
Guide a usability session around observable tasks and follow-up questions.
Coordinate launch messages so each audience gets relevant information.
Define the measures that show whether a launch is working.
Write objectives with outcomes that can be checked at a review.
Explain a product's differences using customer-relevant evidence.
Turn quarterly metrics into a discussion of progress and priorities.
Condense a longer document into the decision and context leaders need.
Compare your current abilities with the expectations of a target role.
Prepare a one-to-one conversation with clear topics and follow-ups.
Plan a difficult workplace conversation with concrete observations and a clear request.
Describe product value in terms that matter to a particular audience.
Choose audiences, channels, and a sequence for taking a product to market.
Name reusable visual values and define their semantic roles.
Test a product idea by writing the customer-facing announcement and likely questions.
Sketch a screen's structure in text before moving into a design tool.
Give a meeting a purpose, discussion order, and expected decisions.
State a user problem in a way a team can investigate and prioritize.
Outline a collaborative FigJam board around a workshop's purpose.
Combine overlapping ideas into a smaller set of testable concepts.
Capture workshop outcomes and outstanding actions in a usable recap.
Review copy and layouts for assumptions that break across languages or locales.
Test how longer translated text affects key controls and layouts.
Check localized screens for formatting, directionality, and fallback problems.
Interpret survey responses while keeping limitations visible.
Compare candidate features using explicit prioritization criteria.
Express user needs as stories with observable completion conditions.
Prepare design specifications and decisions for an engineering handoff.
Connect a proposed marketing change to a testable hypothesis.
Track the cross-team work that must be finished before release.
Define a reusable component with the states and guidance teams need.
Describe an AI feature's intended behavior and the controls people need.
Record a shared decision and the reasoning stakeholders agreed on.
Turn product analytics observations into design questions and next steps.
Plan how content and controls should adapt to different screen sizes.
Organize future work around goals, dependencies, and delivery constraints.
Make a feature's completion conditions concrete enough to test.
Prepare the context and questions needed for a productive design review.
Review a released feature against its goals and real user feedback.
Give people useful recovery options when an AI result fails or is uncertain.
Sort incoming feedback into issues and opportunities a team can evaluate.
Find redundant or inconsistent tokens before they spread across components.
Explain a release through changes users can recognize and act on.
Translate system rules into instructions for generating a consistent prototype.
Describe your brand's visual rules to a prototyping assistant.
Check an AI-generated interface against the system it should follow.
Capture a design project's purpose, audience, and practical constraints.
Make a workplace message easier to understand and respond to.
Turn unclear stakeholder comments into questions and concrete design actions.
Explain specialist terminology in language a broader audience can understand.
Inspect a screen for usability problems using established heuristics.
Explore likely reactions from a defined persona as hypotheses for real testing.
Refine instructions for an AI design tool around the output you need.
Improve small pieces of interface text without changing their intent.
Work through a design management problem with a coaching perspective.
Extract decisions, owners, and follow-ups from unstructured meeting notes.
Give a task ticket the context and completion conditions collaborators need.
Describe the problem, requirements, and success criteria for a product initiative.
Understand the basic choices that make instructions to an AI more useful.
Plan an article's argument and section order before writing the draft.
Write an email around one audience, message, and intended response.
Review a design system for gaps and inconsistent usage.
Map the steps and friction a person encounters while pursuing a goal.
Compare model choices against the demands of a specific task.
Plan social posts around a channel's audience and publishing goals.
Create a repeatable checklist for reviewing interface accessibility.
Identify visible design rules in a screenshot for later validation.
Document design foundations and components from Figma using an MCP connection.
Trace a user's path through actions, decisions, and alternate outcomes.
Lay out the content and controls a screen needs before visual styling.
Organize a site's content so people can find what they need.
Set up tasks and observations for evaluating a product's usability.
Prepare open questions about a participant's real experience.
Compare competitor experiences to find design opportunities worth investigating.
Write concise labels and guidance for an interface's key states.
Choose useful topics and channels based on the audience you want to serve.
Structure a landing page around a visitor's questions and intended action.
Review a design using consistent feedback categories and clear next steps.
Choose a portfolio structure that makes your work easy to evaluate.
Tell a project story that connects your decisions with their results.
Present your design experience with clear roles and evidence of contribution.
Improve an existing resume's organization and specificity.
Prepare evidence-based examples for questions about how you work.
Plan a portfolio presentation around the audience and allotted time.
Approach an interview design exercise with a clear problem-solving process.
Write portfolio pages that explain your experience and invite the right contact.
Make your professional profile easier for relevant collaborators and recruiters to understand.
Turn an interface into specific, actionable feedback before you change it.
Find the decisions, permissions, and recovery paths before you build an agent.